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Picture Diane Marie Bernard Uwacu
PHD Student
Algorithms & Applications Group

Parasol Laboratory url: http://parasol.tamu.edu/~duwacu/
Department of Computer Science and Engineering email:
Texas A&M University office: 407E HRBB
College Station, TX 77843-3112 tel:
USA fax: (979) 458-0718


Howdy!

CV

I am a graduate student working on Motion Planning with Dr Nancy Amato. In 2015, I graduated from Oklahoma Christian University in Computer Science and Finance. I was part of the DREU program for Summer 2014, and for 10 weeks I was doing research in the PARASOL lab, which I joined right after I graduated.
My interests are in motion planning applied in computational biology and machine learning methods. I am currently working on methods to predict ligand binding sites. Previously I have worked on reinforcement learning algorithms for motion planning.


Publications

Diane Uwacu, Everett Yang, Shawna Thomas, Nancy M. Amato, "Using Motion Planning to Evaluate Protein Binding Site Accessibility," Technical Report, TR18-001, Parasol Laboratory, Department of Computer Science, Texas A&M University, College Station TX 77848, USA, Jul 2018.
Technical Report(pdf, abstract)

Diane Uwacu, Chinwe Ekenna, Shawna Thomas, Nancy M. Amato, "The Impact of Approximate Methods on Local Learning in Motion Planning," In Proc. Int. Wksp. Robot Learning and Planning (RSS), Jun 2016.
Proceedings(ps, pdf, abstract)

Chinwe Ekenna, Diane Uwacu, Shawna Thomas, Nancy Amato, "Improved Roadmap Connection via Local Learning for Sampling Based Planners," In Proc. IEEE Int. Conf. Intel. Rob. Syst. (IROS), pp. 3227-3234, Hamburg, Germany, Oct 2015.
Proceedings(pdf, abstract)

Chinwe Ekenna, Diane Uwacu, Shawna Thomas, Nancy Amato, "Studying learning techniques in different phases of PRM construction," In Machine Learning in Planning and Control of Robot Motion Workshop (IROS-MLPC), Hamburg, Germany, Oct 2015.
Proceedings(pdf, abstract)


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